Namami Shanker
SDE 2 at Lokal
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolNamami Shanker is a results-driven software engineer with 9 years of experience, currently building scalable merchant data and onboarding systems at Paytm and early-stage product infrastructure at Pintel. She has a strong track record of shipping high-throughput pipelines (ELK-Kafka processing 2M+ records/day), cost-saving automation that saved crores, and bulk data flows enabling millions of merchant updates. An alumnus of IIT Goa and Google Summer of Code, she contributed to flagship scientific libraries like NumPy and SciPy—modernizing F2PY and hardening core numerical routines—bringing uncommon open-source pedigree to production engineering. Comfortable across Spring Boot, AWS, Kubernetes, SQL and Python, she’s known for turning brittle systems into failure-resistant, 5x faster services and for pragmatic API and tooling design. Passionate about cloud-native architectures and observability, she blends startup agility with deep systems and scientific-computing experience.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Electrical and Electronics Engineering, Bachelor of Technology - BTech Electrical and Electronics Engineering at Indian Institute of Technology (IIT) Goa
Github Skills (8)
algorithms10
scipy10
refactoring10
python10
scientific-computing10
documentation10
numpy10
testing9
Programming languages (9)
Github contributions (5)
scipy/scipy
May 2021 - Mar 2022
SciPy library main repository
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 reviews, 7 commits, 9 PRs in 9 months
Contributions summary:Namami contributed to the SciPy library by addressing bugs, refactoring code, and enhancing existing functionalities. They removed deprecated dependencies, specifically `numpy.compat`, and replaced them with modern alternatives such as `str.encode('latin1')` and `bytes.decode('latin1')`. The user also updated several files related to input/output operations, special functions, and statistical distributions, indicating a focus on maintaining and improving core library components. Their work includes fixing issues, such as handling infinity values in the owens_t function, and making classes, such as `ortho_group` and `unitary_group` freezable, further demonstrating a commitment to quality and library stability.
scipypythonscientific-computing
numpy/numpy
Apr 2022 - Jun 2022
The fundamental package for scientific computing with Python.
Role in this project:Technical Writer
Technical WriterContributions:20 reviews, 12 commits, 8 PRs in 2 months
Contributions summary:Namami's contributions primarily involve documentation improvements within the NumPy project. Their work includes adding documentation for the F2PY test suite, adding and modifying f2py usage and advanced documentation, and fixing typos. They updated the documentation to reflect changes in code structure and clarify usage with multiple commits.
pythonscientific-computingnumpy
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